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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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environment is characterized by its friendly and supportive atmosphere, with regular gatherings such as professional meetings within the research group, shared lunches, and “Friday coffee” sessions to wrap up
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” sessions to wrap up the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities